Data Engineer - Sr BI Engineer (ThoughtSpot)

Data Engineer - Sr BI Engineer (ThoughtSpot) - Grupo Data | Career Page

Data Engineer - Sr BI Engineer (ThoughtSpot)

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Job Openings Data Engineer - Sr BI Engineer (ThoughtSpot)

About the job Data Engineer - Sr BI Engineer (ThoughtSpot)

POSITION OBJECTIVE

As a Senior BI Engineer, you will build and scale data models, pipelines, and self-service analytics across the organization, as well as high-load database solutions for various business use cases, including reporting, product analytics, marketing optimization, and financial reporting.

You will focus on developing a reliable aggregation layer and reporting framework that meets growing business needs, enabling teams to independently access and analyze data. You will contribute as part of a self-organized team of experienced data engineers, working in a challenging and innovative environment for our client, creating the foundation for decision-making in a company that handles billions of events per day.

You will investigate, design, and implement solutions to existing technical challenges. You will provide guidance, instruction, direction, and leadership to a development team in order to achieve project goals.

MAIN TASKS AND RESPONSIBILITIES

• Analyze the scope of alternative solutions and make implementation decisions within your domain based on experience and technical knowledge.
• Lead the functional and architectural design of assigned areas. Ensure that project design decisions meet architectural and design requirements.
• Identify area-level risks and define and implement mitigation plans.
• Report on area readiness/quality and escalate issues in crisis situations beyond your area of responsibility.
• Take ownership of resolving crisis situations within your area of responsibility.
• Conduct design consultations and reviews to ensure business needs are met.
• Identify and execute risk mitigation and compliance activities.
• Use Business Intelligence tools to build and support dashboards.
• Collaborate with team members and cross-functional partners to support business processes and system solutions.
• Manage and resolve customer escalations and systemic improvements.
• Work with Business Analysts to deliver new scalable solutions for business functions.
• Lead validation efforts to ensure data quality.
• Design, develop, and maintain robust data models to support analytical and product data needs across the organization.
• Define business KPIs, measurement plans, data requirements, and reporting structures.
• Design, develop, and implement large-scale, high-volume, high-performance data models and pipelines for Data Lake and Data Warehouse environments.
• Initiate and lead code reviews; establish coding standards, conventions, and guidelines.
• Propose technical and functional improvements to add product value.
• Continuously seek professional development.
• Collaborate with other teams.

REQUIRED EDUCATION AND EXPERIENCE

Mandatory

• Over 8 years of total experience, including 4–5 years in Business Intelligence, Data Analytics, Data Engineering, or similar roles.
• Bachelors degree in Computer Science or related fields.
• Proficiency in BI tools: Deep knowledge of ThoughtSpot; experience with Tableau/Power BI is a plus.
• Hands-on experience with ThoughtSpot is essential.
• Strong SQL skills and experience with data modeling techniques (e.g., dimensional modeling, 3NF, Data Vault), data warehousing (ETL/ELT), and performance optimization.
• Proficiency in Python programming.
• Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and familiarity with data visualization tools (e.g., Looker, Tableau).
• Excellent communication skills and experience working with both technical and non-technical teams.
• Strong analytical and problem-solving skills, with the ability to translate business needs into technical solutions.
• Comfortable working in a dynamic, proactive, and self-organized environment.

Nice to Have

• Experience with real-time data processing and streaming technologies.
• Familiarity with machine learning concepts and their data requirements.

SKILLS

• Python (advanced proficiency)
• Strong SQL skills (data modeling, data warehousing, performance optimization)
• Data warehousing platforms (Snowflake, Databricks, Redshift, etc.) and data visualization tools (Looker, Tableau, etc.)
• ThoughtSpot (advanced proficiency)

Work Model

100% Remote – Lisbon (WET)

14:00 – 00:00 (aligned with Eastern Time business hours: 09:00 – 19:00 EST)

Languages

English C1 or higher

Industry

Technology / Local Commerce / Consumer Cyclical

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